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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

A Bayesian model for identifying hierarchically organised states in neural population activity NIPS 2014
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks NIPS 2014
Analysis of Brain States from Multi-Region LFP Time-Series NIPS 2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NIPS 2014
On Prior Distributions and Approximate Inference for Structured Variables NIPS 2014
Decoupled Variational Gaussian Inference NIPS 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
Sequential Monte Carlo for Graphical Models NIPS 2014
A Complete Variational Tracker NIPS 2014
Distance-Based Network Recovery under Feature Correlation NIPS 2014
Dynamic Rank Factor Model for Text Streams NIPS 2014
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NIPS 2014
Spectral Methods for Indian Buffet Process Inference NIPS 2014
Causal Inference through a Witness Protection Program NIPS 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NIPS 2014
A Statistical Decision-Theoretic Framework for Social Choice NIPS 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NIPS 2014
Information-based learning by agents in unbounded state spaces NIPS 2014
Extended and Unscented Gaussian Processes NIPS 2014
Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014
Ground Plane Estimation using a Hidden Markov Model CVPR 2014
Non-Parametric Bayesian Constrained Local Models CVPR 2014
A Bayesian Framework For the Local Configuration of Retinal Junctions CVPR 2014
Region-based Particle Filter for Video Object Segmentation CVPR 2014